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April 16, 20260 citationsOpen Access

Independent Predictive Value of Amygdala Atrophy in the Alzheimer's Disease Continuum: A Longitudinal Analysis of Hemispheric Asymmetry and Network Neurodegeneration

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LHLuis Fernando Alamo Hidalgo

Key Points

  • This research seeks to understand the predictive role of amygdala atrophy in the Alzheimer’s disease continuum and its relationship with hippocampal atrophy.
  • Analyzed data from 696 participants with CN or LMCI diagnoses using 3T MRI and FreeSurfer.
  • Assessed structural volumes relative to total intracranial volume.
  • Defined significant atrophy as ≥5% decline from baseline over time.
  • Left amygdala atrophy precedes clinical conversion more frequently than the right, though not statistically significant.
  • Amygdala volume correlates with conversion risk but loses significance when adjusted for hippocampal volume.
  • Hippocampal volume remains a strong predictor of conversion risk.

Abstract

This work presents a longitudinal analysis of amygdala and hippocampal atrophy within the Alzheimer’s disease (AD) continuum using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). A total of 696 participants with baseline diagnoses of cognitively normal (CN) or late mild cognitive impairment (LMCI) were analyzed using standardized 3T MRI processed with FreeSurfer. Structural volumes were normalized to estimated total intracranial volume, and significant atrophy was defined as a ≥5% longitudinal decline from baseline. The study evaluates two key questions: (1) whether amygdala atrophy shows hemispheric asymmetry in its temporal relationship to clinical conversion, and (2) whether amygdala volume provides independent prognostic value beyond hippocampal atrophy. Results show that left amygdala atrophy precedes clinical conversion more frequently than the right (55.0% vs 49.9%), although this difference does not reach global statistical significance (χ² = 4.45, p = 0.217). In univariate survival analysis, amygdala volume is associated with conversion risk; however, this effect is attenuated and loses statistical significance after adjustment for hippocampal volume, while hippocampal volume remains a strong independent predictor. These findings support a network-based model of limbic neurodegeneration, in which amygdala and hippocampal atrophy reflect coordinated system-level processes rather than independent regional drivers. This work is a preprint and has not undergone peer review.

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Cite This Study

Luis Fernando Alamo Hidalgo (2026) studied this question.

synapsesocial.com/papers/69e07e582f7e8953b7cbf598https://doi.org/10.5281/zenodo.19578079
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